Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	124663
Missing cells	12363
Missing cells (%)	0.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	13.7 MiB
Average record size in memory	115.4 B

Variable types

Numeric	11
DateTime	1
Categorical	17

Warnings

`BARRIO` has a high cardinality: 408 distinct values	High cardinality
`UNIDAD_ESPACIAL` has a high cardinality: 278 distinct values	High cardinality
`TIPO_CONDUCTA` has a high cardinality: 111 distinct values	High cardinality
`CRIMEN_ID` is highly correlated with `AÑO`	High correlation
`AÑO` is highly correlated with `CRIMEN_ID`	High correlation
`EDAD_VICTIMA` is highly correlated with `GRUPO_ETARIO_VICTIMA_num`	High correlation
`GRUPO_ETARIO_VICTIMA_num` is highly correlated with `EDAD_VICTIMA`	High correlation
`CRIMEN_ID` is highly correlated with `AÑO`	High correlation
`AÑO` is highly correlated with `CRIMEN_ID`	High correlation
`EDAD_VICTIMA` is highly correlated with `GRUPO_ETARIO_VICTIMA_num`	High correlation
`GRUPO_ETARIO_VICTIMA_num` is highly correlated with `EDAD_VICTIMA`	High correlation
`CRIMEN_ID` is highly correlated with `AÑO`	High correlation
`AÑO` is highly correlated with `CRIMEN_ID`	High correlation
`DIA_SEMANA` is highly correlated with `DIA_SEMANA_num`	High correlation
`AÑO` is highly correlated with `CRIMEN_ID`	High correlation
`TIPO_DELITO` is highly correlated with `EDAD_VICTIMA` and 10 other fields	High correlation
`ZONA` is highly correlated with `COMUNA`	High correlation
`EDAD_VICTIMA` is highly correlated with `TIPO_DELITO` and 4 other fields	High correlation
`TIPO_ARMA` is highly correlated with `TIPO_DELITO` and 4 other fields	High correlation
`TIPO_LESION` is highly correlated with `TIPO_DELITO` and 3 other fields	High correlation
`DISTANCIA_ESTACION_POLICIA_CERCANA` is highly correlated with `LONGITUD` and 1 other fields	High correlation
`GENERO_VICTIMA` is highly correlated with `TIPO_DELITO` and 5 other fields	High correlation
`MEDIO_TRANSPORTE_VICTIMA` is highly correlated with `TIPO_DELITO` and 3 other fields	High correlation
`LONGITUD` is highly correlated with `DISTANCIA_ESTACION_POLICIA_CERCANA` and 1 other fields	High correlation
`LATITUD` is highly correlated with `DISTANCIA_ESTACION_POLICIA_CERCANA` and 1 other fields	High correlation
`TIPO_DELITO_ARTICULO` is highly correlated with `TIPO_DELITO` and 8 other fields	High correlation
`MEDIO_TRANSPORTE_VICTIMARIO` is highly correlated with `TIPO_DELITO` and 3 other fields	High correlation
`CRIMEN_ID` is highly correlated with `AÑO`	High correlation
`COMUNA` is highly correlated with `ZONA` and 2 other fields	High correlation
`DIA_SEMANA_num` is highly correlated with `DIA_SEMANA`	High correlation
`MES_num` is highly correlated with `MES`	High correlation
`GRUPO_ETARIO_VICTIMA_num` is highly correlated with `TIPO_DELITO` and 5 other fields	High correlation
`ESTADO_CIVIL_VICTIMA` is highly correlated with `TIPO_DELITO` and 4 other fields	High correlation
`GRUPO_ETARIO_VICTIMA` is highly correlated with `TIPO_DELITO` and 5 other fields	High correlation
`COMUNA_num` is highly correlated with `COMUNA` and 1 other fields	High correlation
`ESTACION_POLICIA_CERCANA` is highly correlated with `TIPO_DELITO` and 4 other fields	High correlation
`MES` is highly correlated with `MES_num`	High correlation
`TIPO_DELITO_ARTICULO` is highly correlated with `TIPO_DELITO` and 1 other fields	High correlation
`ESTACION_POLICIA_CERCANA` is highly correlated with `COMUNA` and 1 other fields	High correlation
`TIPO_DELITO` is highly correlated with `TIPO_DELITO_ARTICULO` and 2 other fields	High correlation
`ZONA` is highly correlated with `COMUNA`	High correlation
`COMUNA` is highly correlated with `ESTACION_POLICIA_CERCANA` and 1 other fields	High correlation
`TIPO_LESION` is highly correlated with `TIPO_DELITO_ARTICULO` and 2 other fields	High correlation
`GENERO_VICTIMA` is highly correlated with `TIPO_DELITO` and 2 other fields	High correlation
`ESTADO_CIVIL_VICTIMA` is highly correlated with `GENERO_VICTIMA`	High correlation
`GRUPO_ETARIO_VICTIMA` is highly correlated with `GENERO_VICTIMA`	High correlation
`LATITUD` has 4121 (3.3%) missing values	Missing
`LONGITUD` has 4121 (3.3%) missing values	Missing
`DISTANCIA_ESTACION_POLICIA_CERCANA` has 4121 (3.3%) missing values	Missing
`DISTANCIA_ESTACION_POLICIA_CERCANA` is highly skewed (γ1 = 214.9790344)	Skewed
`CRIMEN_ID` is uniformly distributed	Uniform
`CRIMEN_ID` has unique values	Unique
`GRUPO_ETARIO_VICTIMA_num` has 8152 (6.5%) zeros	Zeros

Reproduction

Analysis started	2021-09-03 15:44:03.529631
Analysis finished	2021-09-03 16:08:22.350595
Duration	24 minutes and 18.82 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

CRIMEN_ID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	124663
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62332

Minimum	1
Maximum	124663
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	1
5-th percentile	6234.1
Q1	31166.5
median	62332
Q3	93497.5
95-th percentile	118429.9
Maximum	124663
Range	124662
Interquartile range (IQR)	62331

Descriptive statistics

Standard deviation	35987.25264
Coefficient of variation (CV)	0.5773479536
Kurtosis	-1.2
Mean	62332
Median Absolute Deviation (MAD)	31166
Skewness	-2.203112978 × 10^-17
Sum	7770494116
Variance	1295082353
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
83073	1	< 0.1%
83102	1	< 0.1%
83101	1	< 0.1%
83100	1	< 0.1%
83099	1	< 0.1%
83098	1	< 0.1%
83097	1	< 0.1%
83096	1	< 0.1%
83095	1	< 0.1%
Other values (124653)	124653	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
124663	1	< 0.1%
124662	1	< 0.1%
124661	1	< 0.1%
124660	1	< 0.1%
124659	1	< 0.1%
124658	1	< 0.1%
124657	1	< 0.1%
124656	1	< 0.1%
124655	1	< 0.1%
124654	1	< 0.1%

FECHA
Date

Distinct	4072
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	974.1 KiB

Minimum	2010-01-01 00:00:00
Maximum	2021-02-28 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

AÑO
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2015.287094

Minimum	2010
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	2010
5-th percentile	2010
Q1	2013
median	2016
Q3	2018
95-th percentile	2020
Maximum	2021
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.102117373
Coefficient of variation (CV)	0.001539293028
Kurtosis	-1.14941778
Mean	2015.287094
Median Absolute Deviation (MAD)	3
Skewness	-0.1054762854
Sum	251231735
Variance	9.623132194
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2016	13600	10.9%
2018	13489	10.8%
2019	12509	10.0%
2017	12298	9.9%
2012	10912	8.8%
2015	10825	8.7%
2013	10759	8.6%
2011	10363	8.3%
2014	10214	8.2%
2020	9552	7.7%
Other values (2)	10142	8.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2010	8691	7.0%
2011	10363	8.3%
2012	10912	8.8%
2013	10759	8.6%
2014	10214	8.2%
2015	10825	8.7%
2016	13600	10.9%
2017	12298	9.9%
2018	13489	10.8%
2019	12509	10.0%

Value	Count	Frequency (%)
2021	1451	1.2%
2020	9552	7.7%
2019	12509	10.0%
2018	13489	10.8%
2017	12298	9.9%
2016	13600	10.9%
2015	10825	8.7%
2014	10214	8.2%
2013	10759	8.6%
2012	10912	8.8%

MES
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.3 KiB

ENERO	11275
DICIEMBRE	11234
OCTUBRE	11039
FEBRERO	10996
SEPTIEMBRE	10524
Other values (7)	69595

Length

Max length	10
Median length	6
Mean length	6.460449372
Min length	4

Characters and Unicode

Total characters	805379
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ENERO
2nd row	ENERO
3rd row	ENERO
4th row	ENERO
5th row	ENERO

Common Values

Value	Count	Frequency (%)
ENERO	11275	9.0%
DICIEMBRE	11234	9.0%
OCTUBRE	11039	8.9%
FEBRERO	10996	8.8%
SEPTIEMBRE	10524	8.4%
AGOSTO	10293	8.3%
JULIO	10110	8.1%
NOVIEMBRE	10045	8.1%
MAYO	10035	8.0%
MARZO	9933	8.0%
Other values (2)	19179	15.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
enero	11275	9.0%
diciembre	11234	9.0%
octubre	11039	8.9%
febrero	10996	8.8%
septiembre	10524	8.4%
agosto	10293	8.3%
julio	10110	8.1%
noviembre	10045	8.1%
mayo	10035	8.0%
marzo	9933	8.0%
Other values (2)	19179	15.4%

Most occurring characters

Value	Count	Frequency (%)
E	129711	16.1%
O	103629	12.9%
R	95611	11.9%
I	72326	9.0%
B	63407	7.9%
M	51771	6.4%
A	39830	4.9%
T	31856	4.0%
N	30930	3.8%
U	30759	3.8%
Other values (11)	155549	19.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	805379	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	129711	16.1%
O	103629	12.9%
R	95611	11.9%
I	72326	9.0%
B	63407	7.9%
M	51771	6.4%
A	39830	4.9%
T	31856	4.0%
N	30930	3.8%
U	30759	3.8%
Other values (11)	155549	19.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	805379	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	129711	16.1%
O	103629	12.9%
R	95611	11.9%
I	72326	9.0%
B	63407	7.9%
M	51771	6.4%
A	39830	4.9%
T	31856	4.0%
N	30930	3.8%
U	30759	3.8%
Other values (11)	155549	19.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	805379	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	129711	16.1%
O	103629	12.9%
R	95611	11.9%
I	72326	9.0%
B	63407	7.9%
M	51771	6.4%
A	39830	4.9%
T	31856	4.0%
N	30930	3.8%
U	30759	3.8%
Other values (11)	155549	19.3%

MES_num
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.519175698

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.514841219
Coefficient of variation (CV)	0.53915424
Kurtosis	-1.251517787
Mean	6.519175698
Median Absolute Deviation (MAD)	3
Skewness	-0.02194759484
Sum	812700
Variance	12.35410879
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	11275	9.0%
12	11234	9.0%
10	11039	8.9%
2	10996	8.8%
9	10524	8.4%
8	10293	8.3%
7	10110	8.1%
11	10045	8.1%
5	10035	8.0%
3	9933	8.0%
Other values (2)	19179	15.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	11275	9.0%
2	10996	8.8%
3	9933	8.0%
4	9569	7.7%
5	10035	8.0%
6	9610	7.7%
7	10110	8.1%
8	10293	8.3%
9	10524	8.4%
10	11039	8.9%

Value	Count	Frequency (%)
12	11234	9.0%
11	10045	8.1%
10	11039	8.9%
9	10524	8.4%
8	10293	8.3%
7	10110	8.1%
6	9610	7.7%
5	10035	8.0%
4	9569	7.7%
3	9933	8.0%

DIA
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.45598935

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.825933381
Coefficient of variation (CV)	0.571036456
Kurtosis	-1.19162181
Mean	15.45598935
Median Absolute Deviation (MAD)	8
Skewness	0.03446042033
Sum	1926790
Variance	77.89710004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	4813	3.9%
10	4346	3.5%
2	4297	3.4%
5	4231	3.4%
4	4194	3.4%
3	4188	3.4%
9	4184	3.4%
16	4166	3.3%
23	4153	3.3%
22	4143	3.3%
Other values (21)	81948	65.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4813	3.9%
2	4297	3.4%
3	4188	3.4%
4	4194	3.4%
5	4231	3.4%
6	4047	3.2%
7	4116	3.3%
8	4114	3.3%
9	4184	3.4%
10	4346	3.5%

Value	Count	Frequency (%)
31	2306	1.8%
30	3667	2.9%
29	3448	2.8%
28	3980	3.2%
27	4034	3.2%
26	3827	3.1%
25	3963	3.2%
24	3983	3.2%
23	4153	3.3%
22	4143	3.3%

DIA_SEMANA
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.2 KiB

SÁBADO	20038
VIERNES	17866
MIÉRCOLES	17617
MARTES	17460
DOMINGO	17418
Other values (2)	34264

Length

Max length	9
Median length	6
Mean length	6.568637045
Min length	5

Characters and Unicode

Total characters	818866
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VIERNES
2nd row	VIERNES
3rd row	VIERNES
4th row	VIERNES
5th row	VIERNES

Common Values

Value	Count	Frequency (%)
SÁBADO	20038	16.1%
VIERNES	17866	14.3%
MIÉRCOLES	17617	14.1%
MARTES	17460	14.0%
DOMINGO	17418	14.0%
LUNES	17247	13.8%
JUEVES	17017	13.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sábado	20038	16.1%
viernes	17866	14.3%
miércoles	17617	14.1%
martes	17460	14.0%
domingo	17418	14.0%
lunes	17247	13.8%
jueves	17017	13.7%

Most occurring characters

Value	Count	Frequency (%)
E	122090	14.9%
S	107245	13.1%
O	72491	8.9%
R	52943	6.5%
I	52901	6.5%
N	52531	6.4%
M	52495	6.4%
A	37498	4.6%
D	37456	4.6%
V	34883	4.3%
Other values (9)	196333	24.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	818866	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	122090	14.9%
S	107245	13.1%
O	72491	8.9%
R	52943	6.5%
I	52901	6.5%
N	52531	6.4%
M	52495	6.4%
A	37498	4.6%
D	37456	4.6%
V	34883	4.3%
Other values (9)	196333	24.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	818866	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	122090	14.9%
S	107245	13.1%
O	72491	8.9%
R	52943	6.5%
I	52901	6.5%
N	52531	6.4%
M	52495	6.4%
A	37498	4.6%
D	37456	4.6%
V	34883	4.3%
Other values (9)	196333	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	781211	95.4%
Latin 1 Sup	37655	4.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	122090	15.6%
S	107245	13.7%
O	72491	9.3%
R	52943	6.8%
I	52901	6.8%
N	52531	6.7%
M	52495	6.7%
A	37498	4.8%
D	37456	4.8%
V	34883	4.5%
Other values (7)	158678	20.3%

Latin 1 Sup

Value	Count	Frequency (%)
Á	20038	53.2%
É	17617	46.8%

DIA_SEMANA_num
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.047471984

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.997051983
Coefficient of variation (CV)	0.4934072406
Kurtosis	-1.262496204
Mean	4.047471984
Median Absolute Deviation (MAD)	2
Skewness	-0.04565478858
Sum	504570
Variance	3.988216624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	20038	16.1%
5	17866	14.3%
3	17617	14.1%
2	17460	14.0%
7	17418	14.0%
1	17247	13.8%
4	17017	13.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	17247	13.8%
2	17460	14.0%
3	17617	14.1%
4	17017	13.7%
5	17866	14.3%
6	20038	16.1%
7	17418	14.0%

Value	Count	Frequency (%)
7	17418	14.0%
6	20038	16.1%
5	17866	14.3%
4	17017	13.7%
3	17617	14.1%
2	17460	14.0%
1	17247	13.8%

LATITUD
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	56276
Distinct (%)	46.7%
Missing	4121
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	7.124001014

Minimum	4.5901267
Maximum	7.239192
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	4.5901267
5-th percentile	7.0869384
Q1	7.1089894
median	7.1214947
Q3	7.138172825
95-th percentile	7.1705574
Maximum	7.239192
Range	2.6490653
Interquartile range (IQR)	0.029183425

Descriptive statistics

Standard deviation	0.02448501873
Coefficient of variation (CV)	0.003436975751
Kurtosis	951.039271
Mean	7.124001014
Median Absolute Deviation (MAD)	0.0147122
Skewness	-8.838809403
Sum	858741.3302
Variance	0.0005995161424
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.1780457	1799	1.4%
7.1705574	1375	1.1%
7.144371	1163	0.9%
7.1646239	1073	0.9%
7.1206454	1004	0.8%
7.1389313	842	0.7%
7.1217487	804	0.6%
7.1345208	768	0.6%
7.1481037	761	0.6%
7.1218431	703	0.6%
Other values (56266)	110250	88.4%
(Missing)	4121	3.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.5901267	1	< 0.1%
7.0026115	1	< 0.1%
7.0583626	1	< 0.1%
7.060732	1	< 0.1%
7.0608066	1	< 0.1%
7.0653126	1	< 0.1%
7.0685226	1	< 0.1%
7.0708911	1	< 0.1%
7.0709641	1	< 0.1%
7.0710819	1	< 0.1%

Value	Count	Frequency (%)
7.239192	1	< 0.1%
7.2282032	1	< 0.1%
7.22811	1	< 0.1%
7.212821	1	< 0.1%
7.2123392	6	< 0.1%
7.2109843	1	< 0.1%
7.2107413	1	< 0.1%
7.2103252	1	< 0.1%
7.2099807	43	< 0.1%
7.2092311	1	< 0.1%

LONGITUD
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	49226
Distinct (%)	40.8%
Missing	4121
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	-73.12425775

Minimum	-74.1939044
Maximum	-73.0546927
Zeros	0
Zeros (%)	0.0%
Negative	120542
Negative (%)	96.7%
Memory size	974.1 KiB

Quantile statistics

Minimum	-74.1939044
5-th percentile	-73.14082138
Q1	-73.1317162
median	-73.12468825
Q3	-73.1160843
95-th percentile	-73.10690871
Maximum	-73.0546927
Range	1.1392117
Interquartile range (IQR)	0.0156319

Descriptive statistics

Standard deviation	0.01151763896
Coefficient of variation (CV)	-0.0001575077726
Kurtosis	617.3517124
Mean	-73.12425775
Median Absolute Deviation (MAD)	0.00781565
Skewness	-6.816839956
Sum	-8814544.277
Variance	0.0001326560073
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-73.1302244	1799	1.4%
-73.135108	1375	1.1%
-73.128085	1163	0.9%
-73.1391405	1081	0.9%
-73.12605	1004	0.8%
-73.1202363	848	0.7%
-73.118304	805	0.6%
-73.11588	768	0.6%
-73.1263899	761	0.6%
-73.139995	703	0.6%
Other values (49216)	110235	88.4%
(Missing)	4121	3.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-74.1939044	1	< 0.1%
-73.1761256	1	< 0.1%
-73.1720572	1	< 0.1%
-73.1719437	1	< 0.1%
-73.171907	1	< 0.1%
-73.1718962	1	< 0.1%
-73.1718849	1	< 0.1%
-73.1718519	1	< 0.1%
-73.171842	1	< 0.1%
-73.1717991	2	< 0.1%

Value	Count	Frequency (%)
-73.0546927	1	< 0.1%
-73.0548645	1	< 0.1%
-73.0577685	1	< 0.1%
-73.0581339	1	< 0.1%
-73.0636927	1	< 0.1%
-73.0637785	1	< 0.1%
-73.0638215	1	< 0.1%
-73.06445	1	< 0.1%
-73.0705792	1	< 0.1%
-73.0729062	1	< 0.1%

ZONA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.0 KiB

URBANA	123563
RURAL	1058
OTRA	42

Length

Max length	6
Median length	6
Mean length	5.990839303
Min length	4

Characters and Unicode

Total characters	746836
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	URBANA
2nd row	URBANA
3rd row	URBANA
4th row	URBANA
5th row	URBANA

Common Values

Value	Count	Frequency (%)
URBANA	123563	99.1%
RURAL	1058	0.8%
OTRA	42	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
urbana	123563	99.1%
rural	1058	0.8%
otra	42	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
A	248226	33.2%
R	125721	16.8%
U	124621	16.7%
B	123563	16.5%
N	123563	16.5%
L	1058	0.1%
O	42	< 0.1%
T	42	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	746836	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	248226	33.2%
R	125721	16.8%
U	124621	16.7%
B	123563	16.5%
N	123563	16.5%
L	1058	0.1%
O	42	< 0.1%
T	42	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	746836	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	248226	33.2%
R	125721	16.8%
U	124621	16.7%
B	123563	16.5%
N	123563	16.5%
L	1058	0.1%
O	42	< 0.1%
T	42	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	746836	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	248226	33.2%
R	125721	16.8%
U	124621	16.7%
B	123563	16.5%
N	123563	16.5%
L	1058	0.1%
O	42	< 0.1%
T	42	< 0.1%

COMUNA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.6 KiB

SAN FRANCISCO	14717
CENTRO	12665
ORIENTAL	12265
NORTE	11797
CABECERA DEL LLANO	11747
Other values (16)	61472

Length

Max length	19
Median length	13
Mean length	11.3374618
Min length	4

Characters and Unicode

Total characters	1413362
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MORRORICO
2nd row	GARCÍA ROVIRA
3rd row	GARCÍA ROVIRA
4th row	SAN FRANCISCO
5th row	OCCIDENTAL

Common Values

Value	Count	Frequency (%)
SAN FRANCISCO	14717	11.8%
CENTRO	12665	10.2%
ORIENTAL	12265	9.8%
NORTE	11797	9.5%
CABECERA DEL LLANO	11747	9.4%
LA CONCORDIA	9209	7.4%
GARCÍA ROVIRA	8473	6.8%
OCCIDENTAL	7194	5.8%
PROVENZA	6068	4.9%
LA PEDREGOSA	4770	3.8%
Other values (11)	25758	20.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
la	16965	8.4%
oriental	16623	8.2%
del	14731	7.3%
san	14717	7.3%
francisco	14717	7.3%
centro	12665	6.2%
norte	11797	5.8%
llano	11747	5.8%
cabecera	11747	5.8%
concordia	9209	4.5%
Other values (19)	67976	33.5%

Most occurring characters

Value	Count	Frequency (%)
	201859	14.3%
A	162908	11.5%
R	135883	9.6%
O	134114	9.5%
C	126261	8.9%
E	116549	8.2%
N	113351	8.0%
L	84977	6.0%
I	74351	5.3%
T	56496	4.0%
Other values (15)	206613	14.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1210513	85.6%
Space Separator	201859	14.3%
Decimal Number	990	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	162908	13.5%
R	135883	11.2%
O	134114	11.1%
C	126261	10.4%
E	116549	9.6%
N	113351	9.4%
L	84977	7.0%
I	74351	6.1%
T	56496	4.7%
S	48580	4.0%
Other values (11)	157043	13.0%

Decimal Number

Value	Count	Frequency (%)
1	551	55.7%
3	362	36.6%
2	77	7.8%

Space Separator

Value	Count	Frequency (%)
	201859	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1210513	85.6%
Common	202849	14.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	162908	13.5%
R	135883	11.2%
O	134114	11.1%
C	126261	10.4%
E	116549	9.6%
N	113351	9.4%
L	84977	7.0%
I	74351	6.1%
T	56496	4.7%
S	48580	4.0%
Other values (11)	157043	13.0%

Common

Value	Count	Frequency (%)
	201859	99.5%
1	551	0.3%
3	362	0.2%
2	77	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1404889	99.4%
Latin 1 Sup	8473	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	201859	14.4%
A	162908	11.6%
R	135883	9.7%
O	134114	9.5%
C	126261	9.0%
E	116549	8.3%
N	113351	8.1%
L	84977	6.0%
I	74351	5.3%
T	56496	4.0%
Other values (14)	198140	14.1%

Latin 1 Sup

Value	Count	Frequency (%)
Í	8473	100.0%

COMUNA_num
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.303634599

Minimum	0
Maximum	17
Zeros	1035
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	8
Q3	13
95-th percentile	16
Maximum	17
Range	17
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.059222217
Coefficient of variation (CV)	0.6092780404
Kurtosis	-1.396679262
Mean	8.303634599
Median Absolute Deviation (MAD)	5
Skewness	0.05122617179
Sum	1035156
Variance	25.59572944
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
3	14717	11.8%
15	12665	10.2%
13	12265	9.8%
1	11797	9.5%
12	11747	9.4%
6	9209	7.4%
5	8473	6.8%
4	7194	5.8%
10	6068	4.9%
9	4770	3.8%
Other values (8)	25758	20.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1035	0.8%
1	11797	9.5%
2	4358	3.5%
3	14717	11.8%
4	7194	5.8%
5	8473	6.8%
6	9209	7.4%
7	2986	2.4%
8	3221	2.6%
9	4770	3.8%

Value	Count	Frequency (%)
17	3961	3.2%
16	2984	2.4%
15	12665	10.2%
14	3003	2.4%
13	12265	9.8%
12	11747	9.4%
11	4210	3.4%
10	6068	4.9%
9	4770	3.8%
8	3221	2.6%

BARRIO
Categorical

HIGH CARDINALITY

Distinct	408
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	263.0 KiB

CENTRO	10197
SAN FRANCISCO	5452
CABECERA DEL LLANO	5243
LA CONCORDIA	4670
PROVENZA	3164
Other values (403)	95937

Length

Max length	32
Median length	11
Mean length	11.53181778
Min length	4

Characters and Unicode

Total characters	1437591
Distinct characters	39
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	< 0.1%

Sample

1st row	BUENOS AIRES
2nd row	CAMPO HERMOSO
3rd row	CAMPO HERMOSO
4th row	COMUNEROS
5th row	GIRARDOT

Common Values

Value	Count	Frequency (%)
CENTRO	10197	8.2%
SAN FRANCISCO	5452	4.4%
CABECERA DEL LLANO	5243	4.2%
LA CONCORDIA	4670	3.7%
PROVENZA	3164	2.5%
SAN ALONSO	3126	2.5%
CAMPO HERMOSO	2624	2.1%
SOTOMAYOR	2469	2.0%
GARCIA ROVIRA	2469	2.0%
GIRARDOT	2444	2.0%
Other values (398)	82805	66.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
la	14796	6.3%
san	12289	5.2%
centro	10197	4.3%
del	9049	3.8%
de	7233	3.1%
francisco	5453	2.3%
cabecera	5243	2.2%
llano	5243	2.2%
concordia	4670	2.0%
el	4660	2.0%
Other values (402)	157410	66.6%

Most occurring characters

Value	Count	Frequency (%)
A	203452	14.2%
O	135855	9.5%
R	123013	8.6%
	111599	7.8%
E	108597	7.6%
N	107494	7.5%
L	86039	6.0%
I	85251	5.9%
C	79663	5.5%
S	78896	5.5%
Other values (29)	317732	22.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1317684	91.7%
Space Separator	111599	7.8%
Other Punctuation	6234	0.4%
Decimal Number	831	0.1%
Open Punctuation	612	< 0.1%
Close Punctuation	612	< 0.1%
Dash Punctuation	19	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	203452	15.4%
O	135855	10.3%
R	123013	9.3%
E	108597	8.2%
N	107494	8.2%
L	86039	6.5%
I	85251	6.5%
C	79663	6.0%
S	78896	6.0%
D	58400	4.4%
Other values (17)	251024	19.1%

Decimal Number

Value	Count	Frequency (%)
2	361	43.4%
1	295	35.5%
3	110	13.2%
0	33	4.0%
4	18	2.2%
5	14	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	6221	99.8%
/	13	0.2%

Space Separator

Value	Count	Frequency (%)
	111599	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	612	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	612	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1317684	91.7%
Common	119907	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	203452	15.4%
O	135855	10.3%
R	123013	9.3%
E	108597	8.2%
N	107494	8.2%
L	86039	6.5%
I	85251	6.5%
C	79663	6.0%
S	78896	6.0%
D	58400	4.4%
Other values (17)	251024	19.1%

Common

Value	Count	Frequency (%)
	111599	93.1%
.	6221	5.2%
(	612	0.5%
)	612	0.5%
2	361	0.3%
1	295	0.2%
3	110	0.1%
0	33	< 0.1%
-	19	< 0.1%
4	18	< 0.1%
Other values (2)	27	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1436346	99.9%
Latin 1 Sup	1245	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	203452	14.2%
O	135855	9.5%
R	123013	8.6%
	111599	7.8%
E	108597	7.6%
N	107494	7.5%
L	86039	6.0%
I	85251	5.9%
C	79663	5.5%
S	78896	5.5%
Other values (27)	316487	22.0%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	1189	95.5%
Í	56	4.5%

UNIDAD_ESPACIAL
Categorical

HIGH CARDINALITY

Distinct	278
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	253.9 KiB

CENTRO	7525
NO REPORTA	5343
SAN FRANCISCO	4288
LA CONCORDIA	4154
CABECERA DEL LLANO	3788
Other values (273)	99565

Length

Max length	30
Median length	11
Mean length	11.55037982
Min length	5

Characters and Unicode

Total characters	1439905
Distinct characters	41
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	CORREGIMIENTO 1
2nd row	CENTRO
3rd row	CENTRO
4th row	VILLAS DE SAN IGNACIO
5th row	CORREGIMIENTO 1

Common Values

Value	Count	Frequency (%)
CENTRO	7525	6.0%
NO REPORTA	5343	4.3%
SAN FRANCISCO	4288	3.4%
LA CONCORDIA	4154	3.3%
CABECERA DEL LLANO	3788	3.0%
CAFE MADRID	3072	2.5%
UNIVERSIDAD	2977	2.4%
REAL DE MINAS	2952	2.4%
ANTONIA SANTOS CENTRO	2933	2.4%
GARCIA ROVIRA	2787	2.2%
Other values (268)	84844	68.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
la	12478	5.4%
san	11214	4.8%
centro	10458	4.5%
comuna	8726	3.7%
de	6959	3.0%
del	6046	2.6%
no	5343	2.3%
reporta	5343	2.3%
llano	4371	1.9%
cabecera	4371	1.9%
Other values (289)	157917	67.7%

Most occurring characters

Value	Count	Frequency (%)
A	194377	13.5%
O	141390	9.8%
R	120797	8.4%
N	117400	8.2%
E	113870	7.9%
	108563	7.5%
I	93655	6.5%
C	83111	5.8%
S	74575	5.2%
L	73110	5.1%
Other values (31)	319057	22.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1327813	92.2%
Space Separator	108563	7.5%
Decimal Number	3384	0.2%
Other Punctuation	64	< 0.1%
Open Punctuation	40	< 0.1%
Close Punctuation	40	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	194377	14.6%
O	141390	10.6%
R	120797	9.1%
N	117400	8.8%
E	113870	8.6%
I	93655	7.1%
C	83111	6.3%
S	74575	5.6%
L	73110	5.5%
T	55721	4.2%
Other values (20)	259807	19.6%

Decimal Number

Value	Count	Frequency (%)
1	2398	70.9%
3	747	22.1%
2	221	6.5%
0	13	0.4%
5	4	0.1%
7	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	108563	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	40	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	40	100.0%

Other Punctuation

Value	Count	Frequency (%)
*	64	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1327813	92.2%
Common	112092	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	194377	14.6%
O	141390	10.6%
R	120797	9.1%
N	117400	8.8%
E	113870	8.6%
I	93655	7.1%
C	83111	6.3%
S	74575	5.6%
L	73110	5.5%
T	55721	4.2%
Other values (20)	259807	19.6%

Common

Value	Count	Frequency (%)
	108563	96.9%
1	2398	2.1%
3	747	0.7%
2	221	0.2%
*	64	0.1%
(	40	< 0.1%
)	40	< 0.1%
0	13	< 0.1%
5	4	< 0.1%
7	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1438806	99.9%
Latin 1 Sup	1099	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	194377	13.5%
O	141390	9.8%
R	120797	8.4%
N	117400	8.2%
E	113870	7.9%
	108563	7.5%
I	93655	6.5%
C	83111	5.8%
S	74575	5.2%
L	73110	5.1%
Other values (26)	317958	22.1%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	592	53.9%
Á	217	19.7%
Ó	144	13.1%
É	137	12.5%
Ì	9	0.8%

TIPO_DELITO_ARTICULO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.1 KiB

ARTÍCULO 239	58983
ARTÍCULO 111	22430
ARTÍCULO 120	20704
ARTÍCULO 229	16251
ARTÍCULO 209	1518
Other values (24)	4777

Length

Max length	14
Median length	12
Mean length	12.00598413
Min length	10

Characters and Unicode

Total characters	1496702
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	ARTÍCULO 111
2nd row	ARTÍCULO 111
3rd row	ARTÍCULO 111
4th row	ARTÍCULO 111
5th row	ARTÍCULO 111

Common Values

Value	Count	Frequency (%)
ARTÍCULO 239	58983	47.3%
ARTÍCULO 111	22430	18.0%
ARTÍCULO 120	20704	16.6%
ARTÍCULO 229	16251	13.0%
ARTÍCULO 209	1518	1.2%
ARTÍCULO 103	1238	1.0%
ARTÍCULO 208	793	0.6%
ARTÍCULO 109	568	0.5%
ARTÍCULO 205	458	0.4%
ARTÍCULO 244	432	0.3%
Other values (19)	1288	1.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
artículo	124651	49.9%
239	58983	23.6%
111	22430	9.0%
120	20704	8.3%
229	16251	6.5%
209	1518	0.6%
103	1238	0.5%
208	793	0.3%
109	568	0.2%
210	504	0.2%
Other values (19)	2071	0.8%

Most occurring characters

Value	Count	Frequency (%)
A	125048	8.4%
	125048	8.4%
R	124675	8.3%
O	124675	8.3%
T	124663	8.3%
Í	124651	8.3%
C	124651	8.3%
U	124651	8.3%
L	124651	8.3%
2	116622	7.8%
Other values (12)	257367	17.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	997701	66.7%
Decimal Number	373953	25.0%
Space Separator	125048	8.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	125048	12.5%
R	124675	12.5%
O	124675	12.5%
T	124663	12.5%
Í	124651	12.5%
C	124651	12.5%
U	124651	12.5%
L	124651	12.5%
N	12	< 0.1%
E	12	< 0.1%

Decimal Number

Value	Count	Frequency (%)
2	116622	31.2%
1	90637	24.2%
9	77392	20.7%
3	60257	16.1%
0	26301	7.0%
4	908	0.2%
8	866	0.2%
5	462	0.1%
6	367	0.1%
7	141	< 0.1%

Space Separator

Value	Count	Frequency (%)
	125048	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	997701	66.7%
Common	499001	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	125048	12.5%
R	124675	12.5%
O	124675	12.5%
T	124663	12.5%
Í	124651	12.5%
C	124651	12.5%
U	124651	12.5%
L	124651	12.5%
N	12	< 0.1%
E	12	< 0.1%

Common

Value	Count	Frequency (%)
	125048	25.1%
2	116622	23.4%
1	90637	18.2%
9	77392	15.5%
3	60257	12.1%
0	26301	5.3%
4	908	0.2%
8	866	0.2%
5	462	0.1%
6	367	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1372051	91.7%
Latin 1 Sup	124651	8.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	125048	9.1%
	125048	9.1%
R	124675	9.1%
O	124675	9.1%
T	124663	9.1%
C	124651	9.1%
U	124651	9.1%
L	124651	9.1%
2	116622	8.5%
1	90637	6.6%
Other values (11)	166730	12.2%

Latin 1 Sup

Value	Count	Frequency (%)
Í	124651	100.0%

TIPO_DELITO
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.2 KiB

HURTO A PERSONAS	43204
LESIONES PERSONALES	22430
LESIONES CULPOSAS (EN ACCIDENTE DE TRANSITO)	20695
VIOLENCIA INTRAFAMILIAR	16251
HURTO A ENTIDADES COMERCIALES	8089
Other values (35)	13994

Length

Max length	95
Median length	19
Mean length	23.85142344
Min length	9

Characters and Unicode

Total characters	2973390
Distinct characters	32
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	LESIONES PERSONALES
2nd row	LESIONES PERSONALES
3rd row	LESIONES PERSONALES
4th row	LESIONES PERSONALES
5th row	LESIONES PERSONALES

Common Values

Value	Count	Frequency (%)
HURTO A PERSONAS	43204	34.7%
LESIONES PERSONALES	22430	18.0%
LESIONES CULPOSAS (EN ACCIDENTE DE TRANSITO)	20695	16.6%
VIOLENCIA INTRAFAMILIAR	16251	13.0%
HURTO A ENTIDADES COMERCIALES	8089	6.5%
HURTO A RESIDENCIAS	4336	3.5%
HURTO A MOTOCICLETAS	3101	2.5%
ACTOS SEXUALES CON MENOR DE 14 AÑOS	1518	1.2%
HOMICIDIO	1238	1.0%
ACCESO CARNAL ABUSIVO CON MENOR DE 14 AÑOS	793	0.6%
Other values (30)	3008	2.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	59033	14.1%
hurto	58983	14.1%
personas	43204	10.3%
lesiones	43139	10.3%
de	24240	5.8%
personales	22431	5.4%
en	21741	5.2%
accidente	21263	5.1%
culposas	20704	5.0%
transito	20695	5.0%
Other values (65)	82479	19.7%

Most occurring characters

Value	Count	Frequency (%)
E	334651	11.3%
S	322239	10.8%
	293249	9.9%
A	292202	9.8%
O	261997	8.8%
N	227609	7.7%
I	205469	6.9%
R	197334	6.6%
T	158086	5.3%
L	135813	4.6%
Other values (22)	544741	18.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2632829	88.5%
Space Separator	293249	9.9%
Open Punctuation	21304	0.7%
Close Punctuation	21304	0.7%
Decimal Number	4704	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	334651	12.7%
S	322239	12.2%
A	292202	11.1%
O	261997	10.0%
N	227609	8.6%
I	205469	7.8%
R	197334	7.5%
T	158086	6.0%
L	135813	5.2%
C	120322	4.6%
Other values (16)	377107	14.3%

Decimal Number

Value	Count	Frequency (%)
1	2352	50.0%
4	2343	49.8%
8	9	0.2%

Space Separator

Value	Count	Frequency (%)
	293249	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	21304	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	21304	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2632829	88.5%
Common	340561	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	334651	12.7%
S	322239	12.2%
A	292202	11.1%
O	261997	10.0%
N	227609	8.6%
I	205469	7.8%
R	197334	7.5%
T	158086	6.0%
L	135813	5.2%
C	120322	4.6%
Other values (16)	377107	14.3%

Common

Value	Count	Frequency (%)
	293249	86.1%
(	21304	6.3%
)	21304	6.3%
1	2352	0.7%
4	2343	0.7%
8	9	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2969616	99.9%
Latin 1 Sup	3774	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	334651	11.3%
S	322239	10.9%
	293249	9.9%
A	292202	9.8%
O	261997	8.8%
N	227609	7.7%
I	205469	6.9%
R	197334	6.6%
T	158086	5.3%
L	135813	4.6%
Other values (18)	540967	18.2%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	2359	62.5%
Ó	758	20.1%
Á	568	15.1%
Í	89	2.4%

TIPO_CONDUCTA
Categorical

HIGH CARDINALITY

Distinct	111
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	126.8 KiB

HURTO A PERSONAS	39101
LESIONES PERSONALES	21030
LESIONES CULPOSAS (EN ACCIDENTE DE TRANSITO)	19360
VIOLENCIA INTRAFAMILIAR	15953
HURTO A ENTIDADES COMERCIALES	7766
Other values (106)	21453

Length

Max length	95
Median length	19
Mean length	23.18374337
Min length	5

Characters and Unicode

Total characters	2890155
Distinct characters	36
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	< 0.1%

Sample

1st row	LESIONES PERSONALES
2nd row	LESIONES PERSONALES
3rd row	LESIONES PERSONALES
4th row	LESIONES PERSONALES
5th row	LESIONES PERSONALES

Common Values

Value	Count	Frequency (%)
HURTO A PERSONAS	39101	31.4%
LESIONES PERSONALES	21030	16.9%
LESIONES CULPOSAS (EN ACCIDENTE DE TRANSITO)	19360	15.5%
VIOLENCIA INTRAFAMILIAR	15953	12.8%
HURTO A ENTIDADES COMERCIALES	7766	6.2%
HURTO A RESIDENCIAS	4105	3.3%
HURTO A MOTOCICLETAS	2871	2.3%
ACTOS SEXUALES CON MENOR DE 14 AÑOS	1436	1.2%
ATRACO	1344	1.1%
RIÑAS	1201	1.0%
Other values (101)	10496	8.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	54531	13.5%
hurto	54521	13.5%
lesiones	41259	10.2%
personas	39101	9.7%
de	23927	5.9%
personales	21030	5.2%
en	20983	5.2%
accidente	20065	5.0%
transito	19574	4.8%
culposas	19387	4.8%
Other values (165)	90524	22.4%

Most occurring characters

Value	Count	Frequency (%)
E	322332	11.2%
S	304923	10.6%
A	289221	10.0%
	280252	9.7%
O	256070	8.9%
N	219479	7.6%
I	201593	7.0%
R	193847	6.7%
T	155009	5.4%
L	133294	4.6%
Other values (26)	534135	18.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2563716	88.7%
Space Separator	280252	9.7%
Open Punctuation	19971	0.7%
Close Punctuation	19891	0.7%
Decimal Number	4450	0.2%
Other Punctuation	1855	0.1%
Dash Punctuation	20	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	322332	12.6%
S	304923	11.9%
A	289221	11.3%
O	256070	10.0%
N	219479	8.6%
I	201593	7.9%
R	193847	7.6%
T	155009	6.0%
L	133294	5.2%
C	118200	4.6%
Other values (17)	369748	14.4%

Decimal Number

Value	Count	Frequency (%)
1	2225	50.0%
4	2221	49.9%
8	4	0.1%

Other Punctuation

Value	Count	Frequency (%)
/	1835	98.9%
.	20	1.1%

Space Separator

Value	Count	Frequency (%)
	280252	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	19971	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	19891	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2563716	88.7%
Common	326439	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	322332	12.6%
S	304923	11.9%
A	289221	11.3%
O	256070	10.0%
N	219479	8.6%
I	201593	7.9%
R	193847	7.6%
T	155009	6.0%
L	133294	5.2%
C	118200	4.6%
Other values (17)	369748	14.4%

Common

Value	Count	Frequency (%)
	280252	85.9%
(	19971	6.1%
)	19891	6.1%
1	2225	0.7%
4	2221	0.7%
/	1835	0.6%
.	20	< 0.1%
-	20	< 0.1%
8	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2885297	99.8%
Latin 1 Sup	4858	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	322332	11.2%
S	304923	10.6%
A	289221	10.0%
	280252	9.7%
O	256070	8.9%
N	219479	7.6%
I	201593	7.0%
R	193847	6.7%
T	155009	5.4%
L	133294	4.6%
Other values (22)	529277	18.3%

Latin 1 Sup

Value	Count	Frequency (%)
Ñ	3557	73.2%
Ó	735	15.1%
Á	491	10.1%
Í	75	1.5%

TIPO_LESION
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.1 KiB

LESIONES NO FATALES	118670
VIOLENCIA SEXUAL	4155
LESIONES FATALES	1832
NO REPORTA	6

Length

Max length	19
Median length	19
Mean length	18.8554904
Min length	10

Characters and Unicode

Total characters	2350582
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LESIONES NO FATALES
2nd row	LESIONES NO FATALES
3rd row	LESIONES NO FATALES
4th row	LESIONES NO FATALES
5th row	LESIONES NO FATALES

Common Values

Value	Count	Frequency (%)
LESIONES NO FATALES	118670	95.2%
VIOLENCIA SEXUAL	4155	3.3%
LESIONES FATALES	1832	1.5%
NO REPORTA	6	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
lesiones	120502	32.7%
fatales	120502	32.7%
no	118676	32.2%
violencia	4155	1.1%
sexual	4155	1.1%
reporta	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	369822	15.7%
S	365661	15.6%
A	249320	10.6%
L	249314	10.6%
O	243339	10.4%
N	243333	10.4%
	243333	10.4%
I	128812	5.5%
T	120508	5.1%
F	120502	5.1%
Other values (6)	16638	0.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2107249	89.6%
Space Separator	243333	10.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	369822	17.5%
S	365661	17.4%
A	249320	11.8%
L	249314	11.8%
O	243339	11.5%
N	243333	11.5%
I	128812	6.1%
T	120508	5.7%
F	120502	5.7%
V	4155	0.2%
Other values (5)	12483	0.6%

Space Separator

Value	Count	Frequency (%)
	243333	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2107249	89.6%
Common	243333	10.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	369822	17.5%
S	365661	17.4%
A	249320	11.8%
L	249314	11.8%
O	243339	11.5%
N	243333	11.5%
I	128812	6.1%
T	120508	5.7%
F	120502	5.7%
V	4155	0.2%
Other values (5)	12483	0.6%

Common

Value	Count	Frequency (%)
	243333	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2350582	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	369822	15.7%
S	365661	15.6%
A	249320	10.6%
L	249314	10.6%
O	243339	10.4%
N	243333	10.4%
	243333	10.4%
I	128812	5.5%
T	120508	5.1%
F	120502	5.1%
Other values (6)	16638	0.7%

GENERO_VICTIMA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.0 KiB

MASCULINO	61754
FEMENINO	55061
NO REPORTA	7848

Length

Max length	10
Median length	9
Mean length	8.621274957
Min length	8

Characters and Unicode

Total characters	1074754
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MASCULINO
2nd row	MASCULINO
3rd row	MASCULINO
4th row	MASCULINO
5th row	MASCULINO

Common Values

Value	Count	Frequency (%)
MASCULINO	61754	49.5%
FEMENINO	55061	44.2%
NO REPORTA	7848	6.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
masculino	61754	46.6%
femenino	55061	41.6%
no	7848	5.9%
reporta	7848	5.9%

Most occurring characters

Value	Count	Frequency (%)
N	179724	16.7%
O	132511	12.3%
E	117970	11.0%
M	116815	10.9%
I	116815	10.9%
A	69602	6.5%
S	61754	5.7%
C	61754	5.7%
U	61754	5.7%
L	61754	5.7%
Other values (5)	94301	8.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1066906	99.3%
Space Separator	7848	0.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	179724	16.8%
O	132511	12.4%
E	117970	11.1%
M	116815	10.9%
I	116815	10.9%
A	69602	6.5%
S	61754	5.8%
C	61754	5.8%
U	61754	5.8%
L	61754	5.8%
Other values (4)	86453	8.1%

Space Separator

Value	Count	Frequency (%)
	7848	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1066906	99.3%
Common	7848	0.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	179724	16.8%
O	132511	12.4%
E	117970	11.1%
M	116815	10.9%
I	116815	10.9%
A	69602	6.5%
S	61754	5.8%
C	61754	5.8%
U	61754	5.8%
L	61754	5.8%
Other values (4)	86453	8.1%

Common

Value	Count	Frequency (%)
	7848	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1074754	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	179724	16.7%
O	132511	12.3%
E	117970	11.0%
M	116815	10.9%
I	116815	10.9%
A	69602	6.5%
S	61754	5.7%
C	61754	5.7%
U	61754	5.7%
L	61754	5.7%
Other values (5)	94301	8.8%

EDAD_VICTIMA
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	99
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.03731661

Minimum	-1
Maximum	100
Zeros	28
Zeros (%)	< 0.1%
Negative	8709
Negative (%)	7.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	21
median	29
Q3	41
95-th percentile	61
Maximum	100
Range	101
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	16.65157659
Coefficient of variation (CV)	0.5365018116
Kurtosis	0.2951144199
Mean	31.03731661
Median Absolute Deviation (MAD)	9
Skewness	0.31940018
Sum	3869205
Variance	277.2750028
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	8709	7.0%
25	4210	3.4%
23	4038	3.2%
22	3883	3.1%
26	3881	3.1%
21	3854	3.1%
24	3828	3.1%
20	3720	3.0%
27	3676	2.9%
30	3603	2.9%
Other values (89)	81261	65.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	8709	7.0%
0	28	< 0.1%
1	106	0.1%
2	177	0.1%
3	250	0.2%
4	254	0.2%
5	286	0.2%
6	275	0.2%
7	279	0.2%
8	313	0.3%

Value	Count	Frequency (%)
100	1	< 0.1%
98	1	< 0.1%
95	1	< 0.1%
94	5	< 0.1%
93	6	< 0.1%
92	12	< 0.1%
91	15	< 0.1%
90	22	< 0.1%
89	16	< 0.1%
88	32	< 0.1%

GRUPO_ETARIO_VICTIMA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.2 KiB

ADULTEZ	58177
JOVENES	40843
NO REPORTA	8152
ADOLESCENCIA	7309
PERSONA MAYOR	7056
Other values (2)	3126

Length

Max length	16
Median length	7
Mean length	7.942308464
Min length	7

Characters and Unicode

Total characters	990112
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ADULTEZ
2nd row	JOVENES
3rd row	JOVENES
4th row	ADULTEZ
5th row	JOVENES

Common Values

Value	Count	Frequency (%)
ADULTEZ	58177	46.7%
JOVENES	40843	32.8%
NO REPORTA	8152	6.5%
ADOLESCENCIA	7309	5.9%
PERSONA MAYOR	7056	5.7%
INFANCIA	1750	1.4%
PRIMERA INFANCIA	1376	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
adultez	58177	41.2%
jovenes	40843	28.9%
no	8152	5.8%
reporta	8152	5.8%
adolescencia	7309	5.2%
persona	7056	5.0%
mayor	7056	5.0%
infancia	3126	2.2%
primera	1376	1.0%

Most occurring characters

Value	Count	Frequency (%)
E	171065	17.3%
A	102687	10.4%
O	78568	7.9%
N	69612	7.0%
T	66329	6.7%
D	65486	6.6%
L	65486	6.6%
U	58177	5.9%
Z	58177	5.9%
S	55208	5.6%
Other values (10)	199317	20.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	973528	98.3%
Space Separator	16584	1.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	171065	17.6%
A	102687	10.5%
O	78568	8.1%
N	69612	7.2%
T	66329	6.8%
D	65486	6.7%
L	65486	6.7%
U	58177	6.0%
Z	58177	6.0%
S	55208	5.7%
Other values (9)	182733	18.8%

Space Separator

Value	Count	Frequency (%)
	16584	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	973528	98.3%
Common	16584	1.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	171065	17.6%
A	102687	10.5%
O	78568	8.1%
N	69612	7.2%
T	66329	6.8%
D	65486	6.7%
L	65486	6.7%
U	58177	6.0%
Z	58177	6.0%
S	55208	5.7%
Other values (9)	182733	18.8%

Common

Value	Count	Frequency (%)
	16584	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	990112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	171065	17.3%
A	102687	10.4%
O	78568	7.9%
N	69612	7.0%
T	66329	6.7%
D	65486	6.6%
L	65486	6.6%
U	58177	5.9%
Z	58177	5.9%
S	55208	5.6%
Other values (10)	199317	20.1%

GRUPO_ETARIO_VICTIMA_num
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.198487121

Minimum	0
Maximum	6
Zeros	8152
Zeros (%)	6.5%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	5
Q3	5
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.383507421
Coefficient of variation (CV)	0.3295252269
Kurtosis	3.199436441
Mean	4.198487121
Median Absolute Deviation (MAD)	1
Skewness	-1.843647666
Sum	523396
Variance	1.914092784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
5	58177	46.7%
4	40843	32.8%
0	8152	6.5%
3	7309	5.9%
6	7056	5.7%
2	1750	1.4%
1	1376	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8152	6.5%
1	1376	1.1%
2	1750	1.4%
3	7309	5.9%
4	40843	32.8%
5	58177	46.7%
6	7056	5.7%

Value	Count	Frequency (%)
6	7056	5.7%
5	58177	46.7%
4	40843	32.8%
3	7309	5.9%
2	1750	1.4%
1	1376	1.1%
0	8152	6.5%

ESTADO_CIVIL_VICTIMA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.2 KiB

SOLTERO	60871
CASADO	26607
UNION LIBRE	25020
NO REPORTA	8162
DIVORCIADO	1872
Other values (2)	2131

Length

Max length	11
Median length	7
Mean length	7.813761902
Min length	5

Characters and Unicode

Total characters	974087
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UNION LIBRE
2nd row	SOLTERO
3rd row	SOLTERO
4th row	CASADO
5th row	UNION LIBRE

Common Values

Value	Count	Frequency (%)
SOLTERO	60871	48.8%
CASADO	26607	21.3%
UNION LIBRE	25020	20.1%
NO REPORTA	8162	6.5%
DIVORCIADO	1872	1.5%
VIUDO	1420	1.1%
SEPARADO	711	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
soltero	60871	38.6%
casado	26607	16.9%
union	25020	15.9%
libre	25020	15.9%
no	8162	5.2%
reporta	8162	5.2%
divorciado	1872	1.2%
viudo	1420	0.9%
separado	711	0.5%

Most occurring characters

Value	Count	Frequency (%)
O	195568	20.1%
R	104798	10.8%
E	94764	9.7%
S	88189	9.1%
L	85891	8.8%
T	69033	7.1%
A	64670	6.6%
N	58202	6.0%
I	55204	5.7%
	33182	3.4%
Other values (6)	124586	12.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	940905	96.6%
Space Separator	33182	3.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	195568	20.8%
R	104798	11.1%
E	94764	10.1%
S	88189	9.4%
L	85891	9.1%
T	69033	7.3%
A	64670	6.9%
N	58202	6.2%
I	55204	5.9%
D	32482	3.5%
Other values (5)	92104	9.8%

Space Separator

Value	Count	Frequency (%)
	33182	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	940905	96.6%
Common	33182	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	195568	20.8%
R	104798	11.1%
E	94764	10.1%
S	88189	9.4%
L	85891	9.1%
T	69033	7.3%
A	64670	6.9%
N	58202	6.2%
I	55204	5.9%
D	32482	3.5%
Other values (5)	92104	9.8%

Common

Value	Count	Frequency (%)
	33182	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	974087	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	195568	20.1%
R	104798	10.8%
E	94764	9.7%
S	88189	9.1%
L	85891	8.8%
T	69033	7.1%
A	64670	6.6%
N	58202	6.0%
I	55204	5.7%
	33182	3.4%
Other values (6)	124586	12.8%

MEDIO_TRANSPORTE_VICTIMA
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.5 KiB

A PIE	96332
CONDUCTOR MOTOCICLETA	16113
CONDUCTOR VEHICULO	5139
PASAJERO BUS	1782
BICICLETA	1037
Other values (9)	4260

Length

Max length	21
Median length	5
Mean length	8.068737316
Min length	5

Characters and Unicode

Total characters	1005873
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	A PIE
2nd row	A PIE
3rd row	A PIE
4th row	A PIE
5th row	A PIE

Common Values

Value	Count	Frequency (%)
A PIE	96332	77.3%
CONDUCTOR MOTOCICLETA	16113	12.9%
CONDUCTOR VEHICULO	5139	4.1%
PASAJERO BUS	1782	1.4%
BICICLETA	1037	0.8%
CONDUCTOR TAXI	1037	0.8%
PASAJERO MOTOCICLETA	935	0.8%
PASAJERO TAXI	757	0.6%
NO REPORTA	717	0.6%
PASAJERO VEHICULO	421	0.3%
Other values (4)	393	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	96332	38.8%
pie	96332	38.8%
conductor	22562	9.1%
motocicleta	17048	6.9%
vehiculo	5560	2.2%
pasajero	4015	1.6%
bus	2055	0.8%
taxi	1794	0.7%
bicicleta	1037	0.4%
no	717	0.3%
Other values (4)	837	0.3%

Most occurring characters

Value	Count	Frequency (%)
A	124963	12.4%
E	124830	12.4%
	123626	12.3%
I	122808	12.2%
P	101064	10.0%
O	90349	9.0%
C	86855	8.6%
T	60323	6.0%
U	30177	3.0%
R	28131	2.8%
Other values (10)	112747	11.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	882247	87.7%
Space Separator	123626	12.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	124963	14.2%
E	124830	14.1%
I	122808	13.9%
P	101064	11.5%
O	90349	10.2%
C	86855	9.8%
T	60323	6.8%
U	30177	3.4%
R	28131	3.2%
L	23645	2.7%
Other values (9)	89102	10.1%

Space Separator

Value	Count	Frequency (%)
	123626	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	882247	87.7%
Common	123626	12.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	124963	14.2%
E	124830	14.1%
I	122808	13.9%
P	101064	11.5%
O	90349	10.2%
C	86855	9.8%
T	60323	6.8%
U	30177	3.4%
R	28131	3.2%
L	23645	2.7%
Other values (9)	89102	10.1%

Common

Value	Count	Frequency (%)
	123626	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1005873	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	124963	12.4%
E	124830	12.4%
	123626	12.3%
I	122808	12.2%
P	101064	10.0%
O	90349	9.0%
C	86855	8.6%
T	60323	6.0%
U	30177	3.0%
R	28131	2.8%
Other values (10)	112747	11.2%

MEDIO_TRANSPORTE_VICTIMARIO
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	122.5 KiB

A PIE	85850
CONDUCTOR MOTOCICLETA	14258
CONDUCTOR VEHICULO	12688
PASAJERO MOTOCICLETA	6094
CONDUCTOR TAXI	2868
Other values (8)	2905

Length

Max length	21
Median length	5
Mean length	9.256692042
Min length	5

Characters and Unicode

Total characters	1153967
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	A PIE
2nd row	A PIE
3rd row	A PIE
4th row	A PIE
5th row	A PIE

Common Values

Value	Count	Frequency (%)
A PIE	85850	68.9%
CONDUCTOR MOTOCICLETA	14258	11.4%
CONDUCTOR VEHICULO	12688	10.2%
PASAJERO MOTOCICLETA	6094	4.9%
CONDUCTOR TAXI	2868	2.3%
PASAJERO BUS	1454	1.2%
PASAJERO TAXI	523	0.4%
BICICLETA	333	0.3%
NO REPORTA	270	0.2%
PASAJERO VEHICULO	152	0.1%
Other values (3)	173	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	85850	34.5%
pie	85850	34.5%
conductor	29886	12.0%
motocicleta	20352	8.2%
vehiculo	12840	5.2%
pasajero	8323	3.3%
taxi	3391	1.4%
bus	1526	0.6%
bicicleta	333	0.1%
no	270	0.1%
Other values (4)	372	0.1%

Most occurring characters

Value	Count	Frequency (%)
E	128071	11.1%
A	126845	11.0%
	124330	10.8%
I	123100	10.7%
O	122280	10.6%
C	113982	9.9%
P	94444	8.2%
T	74686	6.5%
U	44253	3.8%
R	38851	3.4%
Other values (10)	163125	14.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1029637	89.2%
Space Separator	124330	10.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	128071	12.4%
A	126845	12.3%
I	123100	12.0%
O	122280	11.9%
C	113982	11.1%
P	94444	9.2%
T	74686	7.3%
U	44253	4.3%
R	38851	3.8%
L	33526	3.3%
Other values (9)	129599	12.6%

Space Separator

Value	Count	Frequency (%)
	124330	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1029637	89.2%
Common	124330	10.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	128071	12.4%
A	126845	12.3%
I	123100	12.0%
O	122280	11.9%
C	113982	11.1%
P	94444	9.2%
T	74686	7.3%
U	44253	4.3%
R	38851	3.8%
L	33526	3.3%
Other values (9)	129599	12.6%

Common

Value	Count	Frequency (%)
	124330	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1153967	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	128071	11.1%
A	126845	11.0%
	124330	10.8%
I	123100	10.7%
O	122280	10.6%
C	113982	9.9%
P	94444	8.2%
T	74686	6.5%
U	44253	3.8%
R	38851	3.4%
Other values (10)	163125	14.1%

TIPO_ARMA
Categorical

HIGH CORRELATION

Distinct	36
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.2 KiB

CONTUNDENTES	35333
SIN EMPLEO DE ARMAS	33671
ARMA BLANCA/CORTOPUNZANTE	20301
VEHICULO	13132
ARMA DE FUEGO	7779
Other values (31)	14447

Length

Max length	34
Median length	13
Mean length	15.11082679
Min length	4

Characters and Unicode

Total characters	1883761
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	ARMA BLANCA/CORTOPUNZANTE
2nd row	ARMA BLANCA/CORTOPUNZANTE
3rd row	ARMA BLANCA/CORTOPUNZANTE
4th row	ARMA BLANCA/CORTOPUNZANTE
5th row	ARMA BLANCA/CORTOPUNZANTE

Common Values

Value	Count	Frequency (%)
CONTUNDENTES	35333	28.3%
SIN EMPLEO DE ARMAS	33671	27.0%
ARMA BLANCA/CORTOPUNZANTE	20301	16.3%
VEHICULO	13132	10.5%
ARMA DE FUEGO	7779	6.2%
MOTO	7739	6.2%
LLAVE MAESTRA	2368	1.9%
NO REPORTA	2107	1.7%
PALANCAS	906	0.7%
ESCOPOLAMINA	609	0.5%
Other values (26)	718	0.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	41460	15.6%
contundentes	35333	13.3%
sin	33671	12.6%
empleo	33671	12.6%
armas	33671	12.6%
arma	28080	10.5%
blanca/cortopunzante	20301	7.6%
vehiculo	13132	4.9%
fuego	7779	2.9%
moto	7739	2.9%
Other values (47)	11580	4.3%

Most occurring characters

Value	Count	Frequency (%)
E	229081	12.2%
N	204546	10.9%
A	199106	10.6%
O	152020	8.1%
	141754	7.5%
T	124015	6.6%
S	106849	5.7%
M	106480	5.7%
C	91229	4.8%
R	89010	4.7%
Other values (17)	439671	23.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1721679	91.4%
Space Separator	141754	7.5%
Other Punctuation	20326	1.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	229081	13.3%
N	204546	11.9%
A	199106	11.6%
O	152020	8.8%
T	124015	7.2%
S	106849	6.2%
M	106480	6.2%
C	91229	5.3%
R	89010	5.2%
D	77291	4.5%
Other values (13)	342052	19.9%

Space Separator

Value	Count	Frequency (%)
	141754	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	20326	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1721679	91.4%
Common	162082	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	229081	13.3%
N	204546	11.9%
A	199106	11.6%
O	152020	8.8%
T	124015	7.2%
S	106849	6.2%
M	106480	6.2%
C	91229	5.3%
R	89010	5.2%
D	77291	4.5%
Other values (13)	342052	19.9%

Common

Value	Count	Frequency (%)
	141754	87.5%
/	20326	12.5%
(	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1883761	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	229081	12.2%
N	204546	10.9%
A	199106	10.6%
O	152020	8.1%
	141754	7.5%
T	124015	6.6%
S	106849	5.7%
M	106480	5.7%
C	91229	4.8%
R	89010	4.7%
Other values (17)	439671	23.3%

DISTANCIA_ESTACION_POLICIA_CERCANA
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	69813
Distinct (%)	57.9%
Missing	4121
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.5462961437

Minimum	0.001486
Maximum	300.340824
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	974.1 KiB

Quantile statistics

Minimum	0.001486
5-th percentile	0.1079592
Q1	0.252911
median	0.400576
Q3	0.620965
95-th percentile	1.5417977
Maximum	300.340824
Range	300.339338
Interquartile range (IQR)	0.368054

Descriptive statistics

Standard deviation	1.013872215
Coefficient of variation (CV)	1.855902201
Kurtosis	63421.97897
Mean	0.5462961437
Median Absolute Deviation (MAD)	0.172421
Skewness	214.9790344
Sum	65851.62976
Variance	1.027936869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.198907	1799	1.4%
1.2112	1375	1.1%
0.270129	1164	0.9%
0.419048	1073	0.9%
0.195689	1004	0.8%
1.016831	842	0.7%
0.155217	804	0.6%
0.483664	768	0.6%
0.210898	761	0.6%
0.547459	703	0.6%
Other values (69803)	110249	88.4%
(Missing)	4121	3.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.001486	1	< 0.1%
0.002024	1	< 0.1%
0.002419	1	< 0.1%
0.002562	1	< 0.1%
0.003135	1	< 0.1%
0.003334	1	< 0.1%
0.003703	1	< 0.1%
0.004026	1	< 0.1%
0.004032	1	< 0.1%
0.004148	1	< 0.1%

Value	Count	Frequency (%)
300.340824	1	< 0.1%
11.507579	1	< 0.1%
9.725923	1	< 0.1%
9.684324	1	< 0.1%
8.108664	1	< 0.1%
8.100949	1	< 0.1%
7.989606	1	< 0.1%
7.322976	1	< 0.1%
6.806946	1	< 0.1%
6.528346	1	< 0.1%

ESTACION_POLICIA_CERCANA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	36
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.2 KiB

CAI CAFÉ MADRID	11816
CAI LA ESPERANZA	7269
CAI SAN FRANCISCO	6702
CAI LA CONCORDIA	6111
CAI VIADUCTO	6002
Other values (31)	86763

Length

Max length	34
Median length	15
Mean length	15.83666365
Min length	7

Characters and Unicode

Total characters	1974246
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CAI CAFÉ MADRID
2nd row	CAI CENTENARIO
3rd row	CAI CENTENARIO
4th row	CAI CAFÉ MADRID
5th row	CAI CAFÉ MADRID

Common Values

Value	Count	Frequency (%)
CAI CAFÉ MADRID	11816	9.5%
CAI LA ESPERANZA	7269	5.8%
CAI SAN FRANCISCO	6702	5.4%
CAI LA CONCORDIA	6111	4.9%
CAI VIADUCTO	6002	4.8%
CAI KENNEDY	5634	4.5%
CAI INEM	5066	4.1%
CAI SAN ALONSO	4590	3.7%
CAI CENTENARIO	4321	3.5%
NO REPORTA	4121	3.3%
Other values (26)	63031	50.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cai	100619	28.7%
la	20312	5.8%
de	18007	5.1%
san	13503	3.9%
madrid	11816	3.4%
café	11816	3.4%
estación	9976	2.8%
policía	9976	2.8%
policia	9947	2.8%
santander	8358	2.4%
Other values (42)	135830	38.8%

Most occurring characters

Value	Count	Frequency (%)
A	303930	15.4%
	225497	11.4%
I	218378	11.1%
C	210764	10.7%
O	145219	7.4%
N	124845	6.3%
E	115016	5.8%
R	114179	5.8%
S	89559	4.5%
D	77397	3.9%
Other values (20)	349462	17.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1741384	88.2%
Space Separator	225497	11.4%
Decimal Number	3998	0.2%
Dash Punctuation	3367	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	303930	17.5%
I	218378	12.5%
C	210764	12.1%
O	145219	8.3%
N	124845	7.2%
E	115016	6.6%
R	114179	6.6%
S	89559	5.1%
D	77397	4.4%
T	71218	4.1%
Other values (16)	270879	15.6%

Decimal Number

Value	Count	Frequency (%)
4	1999	50.0%
2	1999	50.0%

Space Separator

Value	Count	Frequency (%)
	225497	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3367	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1741384	88.2%
Common	232862	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	303930	17.5%
I	218378	12.5%
C	210764	12.1%
O	145219	8.3%
N	124845	7.2%
E	115016	6.6%
R	114179	6.6%
S	89559	5.1%
D	77397	4.4%
T	71218	4.1%
Other values (16)	270879	15.6%

Common

Value	Count	Frequency (%)
	225497	96.8%
-	3367	1.4%
4	1999	0.9%
2	1999	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1940267	98.3%
Latin 1 Sup	33979	1.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	303930	15.7%
	225497	11.6%
I	218378	11.3%
C	210764	10.9%
O	145219	7.5%
N	124845	6.4%
E	115016	5.9%
R	114179	5.9%
S	89559	4.6%
D	77397	4.0%
Other values (16)	315483	16.3%

Latin 1 Sup

Value	Count	Frequency (%)
É	11816	34.8%
Ó	9976	29.4%
Í	9976	29.4%
Ñ	2211	6.5%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	CRIMEN_ID	FECHA	AÑO	MES	MES_num	DIA	DIA_SEMANA	DIA_SEMANA_num	LATITUD	LONGITUD	ZONA	COMUNA	COMUNA_num	BARRIO	UNIDAD_ESPACIAL	TIPO_DELITO_ARTICULO	TIPO_DELITO	TIPO_CONDUCTA	TIPO_LESION	GENERO_VICTIMA	EDAD_VICTIMA	GRUPO_ETARIO_VICTIMA	GRUPO_ETARIO_VICTIMA_num	ESTADO_CIVIL_VICTIMA	MEDIO_TRANSPORTE_VICTIMA	MEDIO_TRANSPORTE_VICTIMARIO	TIPO_ARMA	DISTANCIA_ESTACION_POLICIA_CERCANA	ESTACION_POLICIA_CERCANA
0	1	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.170557	-73.135108	URBANA	MORRORICO	14	BUENOS AIRES	CORREGIMIENTO 1	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	30	ADULTEZ	5	UNION LIBRE	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	1.211200	CAI CAFÉ MADRID
1	2	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.120645	-73.126050	URBANA	GARCÍA ROVIRA	5	CAMPO HERMOSO	CENTRO	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	21	JOVENES	4	SOLTERO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	0.195689	CAI CENTENARIO
2	3	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.120645	-73.126050	URBANA	GARCÍA ROVIRA	5	CAMPO HERMOSO	CENTRO	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	23	JOVENES	4	SOLTERO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	0.195689	CAI CENTENARIO
3	4	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.151359	-73.145705	URBANA	SAN FRANCISCO	3	COMUNEROS	VILLAS DE SAN IGNACIO	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	36	ADULTEZ	5	CASADO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	1.230792	CAI CAFÉ MADRID
4	5	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.170557	-73.135108	URBANA	OCCIDENTAL	4	GIRARDOT	CORREGIMIENTO 1	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	20	JOVENES	4	UNION LIBRE	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	1.211200	CAI CAFÉ MADRID
5	6	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.170557	-73.135108	URBANA	OCCIDENTAL	4	GIRARDOT	CORREGIMIENTO 1	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	20	JOVENES	4	UNION LIBRE	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	1.211200	CAI CAFÉ MADRID
6	7	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.187455	-73.131727	URBANA	NOR ORIENTAL	2	LOS ANGELES	VILLA LUZ	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	28	JOVENES	4	CASADO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	3.049477	CAI CAFÉ MADRID
7	8	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.156554	-73.140753	URBANA	OCCIDENTAL	4	NARIÑO	VILLAS DE SAN IGNACIO	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	42	ADULTEZ	5	SOLTERO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	0.572691	CAI CAFÉ MADRID
8	9	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.120001	-73.116084	URBANA	PROVENZA	10	PROVENZA	BOLIVAR	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	22	JOVENES	4	SOLTERO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	0.466600	POLICIA SANTANDER SIC-SIP
9	10	2010-01-01	2010	ENERO	1	1	VIERNES	5	7.161314	-73.139957	URBANA	CABECERA DEL LLANO	12	SOTOMAYOR	CAFE MADRID	ARTÍCULO 111	LESIONES PERSONALES	LESIONES PERSONALES	LESIONES NO FATALES	MASCULINO	20	JOVENES	4	SOLTERO	A PIE	A PIE	ARMA BLANCA/CORTOPUNZANTE	0.177544	CAI CAFÉ MADRID

Last rows

	CRIMEN_ID	FECHA	AÑO	MES	MES_num	DIA	DIA_SEMANA	DIA_SEMANA_num	LATITUD	LONGITUD	ZONA	COMUNA	COMUNA_num	BARRIO	UNIDAD_ESPACIAL	TIPO_DELITO_ARTICULO	TIPO_DELITO	TIPO_CONDUCTA	TIPO_LESION	GENERO_VICTIMA	EDAD_VICTIMA	GRUPO_ETARIO_VICTIMA	GRUPO_ETARIO_VICTIMA_num	ESTADO_CIVIL_VICTIMA	MEDIO_TRANSPORTE_VICTIMA	MEDIO_TRANSPORTE_VICTIMARIO	TIPO_ARMA	DISTANCIA_ESTACION_POLICIA_CERCANA	ESTACION_POLICIA_CERCANA
124653	124654	2021-02-26	2021	FEBRERO	2	26	VIERNES	5	7.133930	-73.126930	URBANA	SAN FRANCISCO	3	SAN FRANCISCO	MUTUALIDAD	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	MASCULINO	41	ADULTEZ	5	CASADO	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.413128	CAI SAN FRANCISCO
124654	124655	2021-02-27	2021	FEBRERO	2	27	SÁBADO	6	7.091319	-73.117514	URBANA	PROVENZA	10	SAN LUIS	SAN LUIS	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	MASCULINO	20	JOVENES	4	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.661552	CAI SUR
124655	124656	2021-02-10	2021	FEBRERO	2	10	MIÉRCOLES	3	7.153306	-73.136682	URBANA	NORTE	1	TEJAR NORTE (SECTOR II )	KENNEDY	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	MASCULINO	21	JOVENES	4	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.354619	CAI KENNEDY
124656	124657	2021-02-09	2021	FEBRERO	2	9	MARTES	2	7.098716	-73.132870	URBANA	MUTIS	17	URB. BRISAS DEL MUTIS	MUTIS	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	MASCULINO	27	JOVENES	4	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.206512	CAI MUTIS
124657	124658	2021-02-11	2021	FEBRERO	2	11	JUEVES	4	7.138767	-73.072906	RURAL	CORREGIMIENTO 3	0	VDA. RETIRO CHIQUITO	CORREGIMIENTO 3	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	FEMENINO	38	ADULTEZ	5	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	3.511822	CAI MORRORICO
124658	124659	2021-02-20	2021	FEBRERO	2	20	SÁBADO	6	7.092583	-73.106933	URBANA	SUR	11	VILLA INES	DIAMANTE I	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	MASCULINO	33	ADULTEZ	5	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.592530	CAI VIADUCTO
124659	124660	2021-02-07	2021	FEBRERO	2	7	DOMINGO	7	7.148965	-73.115512	RURAL	CORREGIMIENTO 1	0	VRDA ABEJAS	CORREGIMIENTO 3	ARTÍCULO 239	HURTO A MOTOCICLETAS	NO REPORTA	LESIONES NO FATALES	MASCULINO	35	ADULTEZ	5	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	1.247678	CAI LA ESPERANZA
124660	124661	2021-02-04	2021	FEBRERO	2	4	JUEVES	4	7.094033	-73.132868	URBANA	MUTIS	17	MUTIS	MONTERREDONDO	ARTÍCULO 239	HURTO A AUTOMOTORES	NO REPORTA	LESIONES NO FATALES	FEMENINO	29	ADULTEZ	5	UNION LIBRE	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.693896	CAI MUTIS
124661	124662	2021-02-03	2021	FEBRERO	2	3	MIÉRCOLES	3	7.078868	-73.117173	URBANA	SUR	11	URB. BRISAS DE PROVENZA	BRISAS DE PROVENZA	ARTÍCULO 239	HURTO A AUTOMOTORES	NO REPORTA	LESIONES NO FATALES	MASCULINO	34	ADULTEZ	5	UNION LIBRE	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.718624	CAI INEM
124662	124663	2021-02-05	2021	FEBRERO	2	5	VIERNES	5	7.097263	-73.125917	URBANA	LA CIUDADELA	7	URB. CIUDAD BOLIVAR	REAL DE MINAS	ARTÍCULO 239	HURTO A AUTOMOTORES	NO REPORTA	LESIONES NO FATALES	MASCULINO	29	ADULTEZ	5	SOLTERO	A PIE	A PIE	SIN EMPLEO DE ARMAS	0.198304	CAI REAL DE MINAS

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters